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@daghis/teamcity-mcp

v1.11.1

Published

Model Control Protocol server for TeamCity CI/CD integration with AI coding assistants

Readme

TeamCity MCP Server

CI CodeQL codecov License: MIT

A Model Control Protocol (MCP) server that bridges AI coding assistants with JetBrains TeamCity CI/CD server, exposing TeamCity operations as MCP tools.

Overview

The TeamCity MCP Server allows developers using AI-powered coding assistants (Claude Code, Cursor, Windsurf) to interact with TeamCity directly from their development environment via MCP tools.

Features

🚀 Two Operational Modes

  • Dev Mode: Safe CI/CD operations

    • Trigger builds
    • Monitor build status and progress
    • Fetch build logs
    • Investigate test failures
    • List projects and configurations
  • Full Mode: Complete infrastructure management

    • All Dev mode features, plus:
    • Create and clone build configurations
    • Manage build steps and triggers
    • Configure VCS roots and agents
    • Set up new projects
    • Modify infrastructure settings

🎯 Key Capabilities

  • Trigger and monitor builds, fetch logs, and inspect test failures
  • Token-based authentication to TeamCity; sensitive values redacted in logs
  • Modern architecture: simple, direct implementation with a singleton client
  • Performance-conscious: fast startup with minimal overhead
  • Clean codebase with clear module boundaries

Installation

Prerequisites

  • Node.js >= 20.10.0
  • TeamCity Server 2020.1+ with REST API access
  • TeamCity authentication token

Quick Start

# Clone the repository
git clone https://github.com/Daghis/teamcity-mcp.git
cd teamcity-mcp

# Install dependencies
npm install

# Configure environment
cp .env.example .env
# Edit .env with your TeamCity URL and token

# Run in development mode
npm run dev

npm Package

Run the MCP server via npx (requires Node 20.x). Set your TeamCity environment variables inline or via a .env in the working directory.

# One-off run (inline envs)
TEAMCITY_URL="https://teamcity.example.com" \
TEAMCITY_TOKEN="<your_token>" \
MCP_MODE=dev \
npx -y @daghis/teamcity-mcp

# Or rely on .env in the current directory
npx -y @daghis/teamcity-mcp

Claude Code

  • Add the MCP:
    • claude mcp add [-s user] teamcity -- npx -y @daghis/teamcity-mcp
  • With env vars (if not using .env):
    • claude mcp add [-s user] teamcity -- env TEAMCITY_URL="https://teamcity.example.com" TEAMCITY_TOKEN="tc_<your_token>" MCP_MODE=dev npx -y @daghis/teamcity-mcp
  • Context usage (Opus 4.1, estimates):
    • Dev (default): ~14k tokens for MCP tools
    • Full (MCP_MODE=full): ~26k tokens for MCP tools

Configuration

Environment is validated centrally with Zod. Supported variables and defaults:

# Server Configuration
PORT=3000
NODE_ENV=development
LOG_LEVEL=info

# TeamCity Configuration (aliases supported)
TEAMCITY_URL=https://teamcity.example.com
TEAMCITY_TOKEN=your-auth-token
# Optional aliases:
# TEAMCITY_SERVER_URL=...
# TEAMCITY_API_TOKEN=...

# MCP Mode (dev or full)
MCP_MODE=dev

# Optional advanced TeamCity options (defaults shown)
# Connection
# TEAMCITY_TIMEOUT=30000
# TEAMCITY_MAX_CONCURRENT=10
# TEAMCITY_KEEP_ALIVE=true
# TEAMCITY_COMPRESSION=true

# Retry
# TEAMCITY_RETRY_ENABLED=true
# TEAMCITY_MAX_RETRIES=3
# TEAMCITY_RETRY_DELAY=1000
# TEAMCITY_MAX_RETRY_DELAY=30000

# Pagination
# TEAMCITY_PAGE_SIZE=100
# TEAMCITY_MAX_PAGE_SIZE=1000
# TEAMCITY_AUTO_FETCH_ALL=false

# Circuit Breaker
# TEAMCITY_CIRCUIT_BREAKER=true
# TEAMCITY_CB_FAILURE_THRESHOLD=5
# TEAMCITY_CB_RESET_TIMEOUT=60000
# TEAMCITY_CB_SUCCESS_THRESHOLD=2

These values are normalized in src/config/index.ts and consumed by src/teamcity/config.ts via helper getters.

Usage Examples

Once integrated with your AI coding assistant:

"Build the frontend on feature branch"
"Why did last night's tests fail?"
"Deploy staging with the latest build"
"Create a new build config for the mobile app"

Tool Responses and Pagination

  • Responses: Tools now return consistent MCP content. For list/get operations, the content[0].text contains a JSON string. Example shape: { "items": [...], "pagination": { "page": 1, "pageSize": 100 } } or { "items": [...], "pagination": { "mode": "all", "pageSize": 100, "fetched": 250 } }.
  • Pagination: Most list_* tools accept pageSize, maxPages, and all:
    • pageSize controls items per page.
    • all: true fetches multiple pages up to maxPages.
    • Legacy count on list_builds is kept for compatibility but pageSize is preferred.

Validation and Errors

  • Input validation: Tool inputs are validated with Zod schemas; invalid input returns a structured error payload in the response content (JSON string) with success: false and error.code = VALIDATION_ERROR.
  • Error shaping: Errors are formatted consistently via a global handler. In production, messages may be sanitized; sensitive values (e.g., tokens) are redacted in logs.

API Usage

import { TeamCityAPI } from '@/api-client';

// Get the API client instance
const api = TeamCityAPI.getInstance();

// List projects
const projects = await api.listProjects();

// Get build status
const build = await api.getBuild('BuildId123');

// Trigger a new build
const newBuild = await api.triggerBuild('BuildConfigId', {
  branchName: 'main',
});

Note: The legacy helpers exported from src/teamcity/index.ts remain only for compatibility and include placeholder implementations. Prefer the MCP tools (see the reference linked above) or the TeamCityAPI shown here when automating workflows.

Development

# Run tests
npm test

# Run tests with coverage
npm run test:coverage

# Lint code
npm run lint

# Format code
npm run format

# Type check
npm run typecheck

# Build for production
npm run build

# Analyze bundle for Codecov
npm run build:bundle

Bundle analysis in CI

The CI workflow runs npm run build:bundle and uploads the generated coverage/bundles JSON using codecov/codecov-action with the javascript-bundle plugin.

Project Structure

teamcity-mcp/
├── src/               # Source code
│   ├── tools/        # MCP tool implementations
│   ├── utils/        # Utility functions
│   ├── types/        # TypeScript type definitions
│   └── config/       # Configuration management
├── tests/            # Test files
├── docs/             # Documentation
└── .agent-os/        # Agent OS specifications

API Documentation

The MCP server exposes tools for TeamCity operations. Each tool corresponds to specific TeamCity REST API endpoints:

Build Management

  • TriggerBuild - Queue a new build
  • GetBuildStatus - Check build progress
  • FetchBuildLog - Retrieve build logs
  • ListBuilds - Search builds by criteria

Test Analysis

  • ListTestFailures - Get failing tests
  • GetTestDetails - Detailed test information
  • AnalyzeBuildProblems - Identify failure reasons

Configuration (Full Mode Only)

  • create_build_config - Create new TeamCity build configurations with full support for:
    • VCS roots (Git, SVN, Perforce) with authentication
    • Build steps (script, Maven, Gradle, npm, Docker, PowerShell)
    • Triggers (VCS, schedule, finish-build, maven-snapshot)
    • Parameters and template-based configurations
    • See the MCP Tool Reference for argument details and additional options.
  • clone_build_config - Duplicate existing configurations into any project, preserving steps, triggers, and parameters.
  • update_build_config - Adjust names, descriptions, artifact rules, and pause state for a configuration.
  • manage_build_steps - Add, update, remove, or reorder build steps through a single tool surface.
  • manage_build_triggers - Add or delete build triggers with full property support.
  • create_vcs_root & add_vcs_root_to_build - Define VCS roots and attach them to build configurations.

See also: docs/TEAMCITY_MCP_TOOLS_GUIDE.md for expanded workflows and examples that align with the current MCP implementation.

Contributing

We welcome contributions! Please see CONTRIBUTING.md for details.

Security

  • Configure TEAMCITY_TOKEN via environment (see .env.example); never commit real tokens
  • Token-based authentication only
  • Logs redact sensitive values

Support

Acknowledgments

  • JetBrains TeamCity for the excellent CI/CD platform
  • Anthropic for the Model Control Protocol specification
  • The open-source community for continuous support

Built with ❤️ for developers who love efficient CI/CD workflows